COVID-19 CG enables SARS-CoV-2 mutation and lineage tracking by locations and dates of interest

Author:

Chen Albert Tian1,Altschuler Kevin2,Zhan Shing Hei34,Chan Yujia Alina1ORCID,Deverman Benjamin E1ORCID

Affiliation:

1. Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States

2. Independent web designer, Cambridge, United States

3. Department of Zoology & Biodiversity Research Centre, the University of British Columbia, Vancouver, Canada

4. Fusion Genomics Corporation, Burnaby, Canada

Abstract

COVID-19 CG (covidcg.org) is an open resource for tracking SARS-CoV-2 single-nucleotide variations (SNVs), lineages, and clades using the virus genomes on the GISAID database while filtering by location, date, gene, and mutation of interest. COVID-19 CG provides significant time, labor, and cost-saving utility to projects on SARS-CoV-2 transmission, evolution, diagnostics, therapeutics, vaccines, and intervention tracking. Here, we describe case studies in which users can interrogate (1) SNVs in the SARS-CoV-2 spike receptor binding domain (RBD) across different geographical regions to inform the design and testing of therapeutics, (2) SNVs that may impact the sensitivity of commonly used diagnostic primers, and (3) the emergence of a dominant lineage harboring an S477N RBD mutation in Australia in 2020. To accelerate COVID-19 efforts, COVID-19 CG will be upgraded with new features for users to rapidly pinpoint mutations as the virus evolves throughout the pandemic and in response to therapeutic and public health interventions.

Funder

National Institute of Neurological Disorders and Stroke

National Institute of Mental Health

Stanley Center for Psychiatric Research, Broad Institute

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference30 articles.

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4. Chen AT. 2021. Software Heritage. swh:1:rev:e9558dc11b31b908f3af142e403d33e91d417b8a. https://archive.softwareheritage.org/swh:1:dir:93d863542348d0b310ece4bc5fac8b716a9106c0;origin=https://github.com/vector-engineering/COVID19-CG;visit=swh:1:snp:7bcc8c40c7f48560145e456d261db959748f8fe8;anchor=swh:1:rev:e9558dc11b31b908f3af142e403d33e91d417b8a/.

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